Artificial Intelligence and Machine Learning for Digital Pathology

Language: English

Published by Springer, Springer Jun 2020, 2020

3030504018 / 9783030504014

Series: Book 197 of 300 - Lecture Notes in Computer Science

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This item is printed on demand - Print on Demand Titel. Neuware -Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support.Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ''fit-for-purpose'' samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 356 pp. Englisch.

Seller Inventory # 9783030504014

Title
Artificial Intelligence and Machine Learning for Digital Pathology
Author
Andreas Holzinger
Publisher
Springer, Springer Jun 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030504018
ISBN 13
9783030504014
Item weight
540 grams
Dimensions
235x155x20 mm
Series
Book 197 of 300: Lecture Notes in Computer Science

buchversandmimpf2000

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